Sentence examples for become open by from inspiring English sources

Exact(1)

He believes that "government must become open by default and secret only by necessity", which will be discussed later.

Similar(59)

You could decide to impress us with the transparency you still can bring to government, so that the institution you run becomes open by default rather than by force.

In India, vaccination and hygiene-related policies have made impressive progress, with full immunization coverage of children now approaching the 90%% mark, and the country pledged to become "open defecation free" by 2019, with plans to build 120,000 toilets in rural India by October 2019, at a projected cost of US$31 billion.

STUART BLUME: [LAUGHS] Well, it was an idea that sciences reach a sort of intellectual maturity, at which point they become open to steering by various policy instruments.

It exemplifies how information which was once secret first went through a phase of being accessible only via FOI and has now become open data, routinely published by public authorities without anyone having to ask for it.

So when it became clear that the Senate seat held by Hillary Rodham Clinton would become open, Mr. Cuomo restrained himself from overt campaigning and retreated to the background.

Thomas Gregor's efforts to label one of the embryo's proteins with a fluorescent material allowed the nuclei's behavior not only to stand out on film, but also to become open to mathematical analysis, as represented by the scientist in the background.

Education has become open source.

It had become open warfare.

Raw data becomes open to scrutiny by other researchers, which helps to uncover cases of scientific fraud or the more innocent, but equally damaging, mistake or incompetent analysis of otherwise valid raw data.

Making research data (openly) available in well-defined formats has many benefits, some primary ones being: Raw data becomes open to scrutiny by other researchers, which helps to uncover cases of scientific fraud or the more innocent, but equally damaging, mistake or incompetent analysis of otherwise valid raw data.

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